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processing, as well as proven experience in Mueller polarimetry and optical system characterization. 2) Proficiency in numerical modeling approaches, combined with solid programming skills (Python, Matlab
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Job related to staff position within a Research Infrastructure? No Offer Description Development of theoretical models of cell migration with memory Modeling in statistical physics and soft matter
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an approach based on 3D imaging and numerical simulation. The objective is to support the development of the most "infiltrable" ex-PIP matrices by characterizing the spatial organization of these porous media
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Data-driven Modelling Transportation Planning and Network Design Your profile Hold a PhD in applied mathematics or engineering Strong analytical and numerical skills Knowledge of programming, either
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able to perform both analytical and numerical calculations. Experience with analytical or numerical modelling of active systems is desired. Experience with continuum/ hydrodynamic theories
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throughput genomics that informs advanced numerical analysis methods (modeling, statistics, machine learning). Plankton encompasses all organisms roaming with marine currents. Those organisms are responsible
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: - Stress-related microfluidic experiments on yeast. - Experimental validation of a numerical ODE model of yeast behavior and its correction. - Qualitative analysis of the model and its bifurcations in
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planetary geodynamics and habitability. Experience using piston cylinder and DAC presses, high-temperature and high-pressure experiments, numerical modeling, Zr isotopes, atomic-scale and micro-scale analyses
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polytopal numerical methods The conception of discrete complexes (de Rham and extended complexes) The application to various models of MHD and flows in porous media The numerical analysis of the schemes
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. This data is crucial for improving the numerical models aimed at simulating crystal morphologies and interfacial dynamics, as well as gaining a better understanding of the solidification mechanisms. Where